Renamed base_field_type.py to field_type.py

nifty/field_types/__init__.py

 # -*- coding: utf-8 -*-
 
-from field_array import FieldType,\
-                        FieldArray
\ No newline at end of file
+from field_type import FieldType
+from field_array import FieldArray

nifty/field_types/base_field_type.py

-# -*- coding: utf-8 -*-
-
-import numpy as np
-
-
-class FieldType(object):
-    def __init__(self, shape, dtype):
-        try:
-            new_shape = tuple([int(i) for i in shape])
-        except TypeError:
-            new_shape = (int(shape), )
-        self._shape = new_shape
-
-        self._dtype = np.dtype(dtype)
-
-    def __hash__(self):
-        # Extract the identifying parts from the vars(self) dict.
-        result_hash = 0
-        for (key, item) in vars(self).items():
-            result_hash ^= item.__hash__() ^ int(hash(key)/117)
-        return result_hash
-
-    def __eq__(self, x):
-        if isinstance(x, type(self)):
-            return hash(self) == hash(x)
-        else:
-            return False
-
-    @property
-    def shape(self):
-        return self._shape
-
-    @property
-    def dtype(self):
-        return self._dtype
-
-    @property
-    def dim(self):
-        raise NotImplementedError
-
-    def process(self, method_name, array, inplace=True, **kwargs):
-        try:
-            result_array = self.__getattr__(method_name)(array,
-                                                         inplace,
-                                                         **kwargs)
-        except AttributeError:
-            if inplace:
-                result_array = array
-            else:
-                result_array = array.copy()
-
-        return result_array
-
-    def complement_cast(self, x, axes=None):
-        return x

nifty/field_types/field_array.py

 # -*- coding: utf-8 -*-
 
 
-from base_field_type import FieldType
+from field_type import FieldType
 
 
 class FieldArray(FieldType):